Ruiyan Du;Long Li;Zhiqing Guan;Baozhu Shi;Zhuoyao Duan;Fulai Liu
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Different from the traditional branch-and-bound method by the convex relaxation, the subspace projection method is used to obtain a closed-form lower bound of the objective function. It can reduce the computational cost effectively. Moreover, according to the norm and the nonlinear programming theories, a phase shifters precoding matrix optimization method is proposed. In this method, the phase-shifter precoding matrix optimization problem is transformed into a positive semidefinite quadratic form satisfying the KKT condition. Especially, a diagonal loading factor is introduced to satisfy the KKT condition to reduce the computational cost. Simulation results and complexity analysis show that the proposed method provides high energy efficiency while enjoying satisfactory spectral efficiency with a low computational complexity.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1622-1631"},"PeriodicalIF":5.3000,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AFC-TH Hybrid Precoding With High Energy Efficiency for Millimeter Wave Communication Systems\",\"authors\":\"Ruiyan Du;Long Li;Zhiqing Guan;Baozhu Shi;Zhuoyao Duan;Fulai Liu\",\"doi\":\"10.1109/TGCN.2024.3394834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a structure with lower power consumption and hardware cost, the adaptive fully-connected (AFC) structure can improve energy efficiency significantly for hybrid precoding. Based on this, this paper proposes an energy-efficient AFC Tomlinson-Harashima (AFC-TH) hybrid precoding algorithm. Specifically, to alleviate inter-user interference and enhance system performance, a TH algorithm based on the mean square error minimization of signals (S-MMSE-TH) is proposed to obtain the optimal digital precoding matrix. Furthermore, to reduce the computational complexity of optimization the switch precoding matrix, a branch-and-bound based on subspace projection method is developed. Different from the traditional branch-and-bound method by the convex relaxation, the subspace projection method is used to obtain a closed-form lower bound of the objective function. It can reduce the computational cost effectively. Moreover, according to the norm and the nonlinear programming theories, a phase shifters precoding matrix optimization method is proposed. In this method, the phase-shifter precoding matrix optimization problem is transformed into a positive semidefinite quadratic form satisfying the KKT condition. Especially, a diagonal loading factor is introduced to satisfy the KKT condition to reduce the computational cost. 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引用次数: 0
摘要
作为一种功耗和硬件成本较低的结构,自适应全连接(AFC)结构能显著提高混合预编码的能效。基于此,本文提出了一种高能效 AFC 汤姆林森-原岛(AFC-TH)混合预编码算法。具体来说,为了减轻用户间干扰并提高系统性能,本文提出了一种基于信号均方误差最小化的混合预编码算法(S-MMSE-TH),以获得最佳数字预编码矩阵。此外,为了降低优化交换机预编码矩阵的计算复杂度,还提出了一种基于子空间投影的分支约束方法。与传统的凸松弛分支约束法不同,子空间投影法用于获得目标函数的闭式下界。它能有效降低计算成本。此外,根据规范和非线性编程理论,提出了一种移相器预编码矩阵优化方法。在该方法中,移相器预编码矩阵优化问题被转化为满足 KKT 条件的正半有限二次型。特别是,为了满足 KKT 条件,引入了对角负载因子,以降低计算成本。仿真结果和复杂度分析表明,所提出的方法具有较高的能效,同时以较低的计算复杂度获得了令人满意的频谱效率。
AFC-TH Hybrid Precoding With High Energy Efficiency for Millimeter Wave Communication Systems
As a structure with lower power consumption and hardware cost, the adaptive fully-connected (AFC) structure can improve energy efficiency significantly for hybrid precoding. Based on this, this paper proposes an energy-efficient AFC Tomlinson-Harashima (AFC-TH) hybrid precoding algorithm. Specifically, to alleviate inter-user interference and enhance system performance, a TH algorithm based on the mean square error minimization of signals (S-MMSE-TH) is proposed to obtain the optimal digital precoding matrix. Furthermore, to reduce the computational complexity of optimization the switch precoding matrix, a branch-and-bound based on subspace projection method is developed. Different from the traditional branch-and-bound method by the convex relaxation, the subspace projection method is used to obtain a closed-form lower bound of the objective function. It can reduce the computational cost effectively. Moreover, according to the norm and the nonlinear programming theories, a phase shifters precoding matrix optimization method is proposed. In this method, the phase-shifter precoding matrix optimization problem is transformed into a positive semidefinite quadratic form satisfying the KKT condition. Especially, a diagonal loading factor is introduced to satisfy the KKT condition to reduce the computational cost. Simulation results and complexity analysis show that the proposed method provides high energy efficiency while enjoying satisfactory spectral efficiency with a low computational complexity.